METHOD AND APPARATUS FOR AGGLOMERATIVE HIERARCHICAL CLUSTERING USING INITIAL CLUSTERING

• 1. 一种基于改进层次聚类算法的变电站聚类方法 [P] . 中国专利： CN112465022A . 2021-03-09
• 2. 一种基于层次聚类的自适应选择性文本聚类集成方法 [P] . 中国专利： CN108681609A . 2018-10-19
• 3. METHOD AND APPARATUS FOR AGGLOMERATIVE HIERARCHICAL CLUSTERING USING INITIAL CLUSTERING [P] . 韩国专利： KR20120050642A . 2012-05-21

  机译： 利用初始聚类进行聚类层次聚类的方法和装置

• 4. Hierarchical clustering apparatus, hierarchical clustering reconstruction method, and program [P] . 日本专利： JP6123993B2 . 2017-05-10

  机译： 层次聚类设备，层次聚类重建方法和程序

• 5. Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications [P] . 美国专利： US7333998B2 . 2008-02-19

  机译： 用于可视化数据集群和分层集群分类的设备及其伴随方法

• 1. NEW METHOD TO ESTIMATE SCALING EXPONENTS OF POWER-LAW DEGREE DISTRIBUTION AND HIERARCHICAL CLUSTERING FUNCTION FOR COMPLEX NETWORKS [J] . 杨波, 段文奇, 陈忠 应用数学和力学：英文版 . 2006,第011期
• 2. A NEW INITIALIZATION METHOD OF CLUSTER CENTERS [J] . 电子科学学刊：英文版 . 1999,第004期
• 3. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm, Minimum Spanning Tree, and Hierarchical Clustering in an Applied Study [J] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, Computational and mathematical methods in medicine . 2020,第1期
• 4. Identifying Spatiotemporal Clusters by Means of Agglomerative Hierarchical Clustering and Bayesian Regression Analysis with Spatiotemporally Varying Coefficients: Methodology and Application to Dengue Disease in Bandung, Indonesia [J] . Jaya I. Gede Nyoman Mindra, Folmer Henk Geographical analysis . 2021,第4期
• 5. Method for Determining the Optimal Number of Clusters Based on Agglomerative Hierarchical Clustering [J] . Shibing Zhou, Zhenyuan Xu, Fei Liu Neural Networks and Learning Systems, IEEE Transactions on . 2017,第12期
• 6. An Improved Cluster Model Selection Method for Agglomerative Hierarchical Speaker Clustering using Incremental Gaussian Mixture Models [C] . Kyu J. Han, Shrikanth S. Narayanan Annual conference of the International Speech Communication Association;INTERSPEECH 2010 . 2011
• 7. Design and evaluation of clustering criterion for optimal hierarchical agglomerative clustering. [D] . Jung, Yunjae. 2001
• 8. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm Minimum Spanning Tree and Hierarchical Clustering in an Applied Study [O] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, 2020
• 9. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm, Minimum Spanning Tree, and Hierarchical Clustering in an Applied Study [O] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, 2020

• 1. Quantum Hierarchical Agglomerative Clustering Based on One Dimension Discrete Quantum Walk with Single-Point Phase Defects [J] . Gongde Guo ,Kai Yu ,Hui Wang . 计算机、材料和连续体(英文) . 2020,第11期
• 2. Coarse-Graining Method Based on Hierarchical Clustering on Complex Networks [J] . Lin Liao ,Zhen Jia ,Yang Deng . 通讯与网络（英文） . 2019,第1期
• 3. Research on Industry Cluster Competitiveness Based on DEA-Ridge Regression Two-step Method--,Taking the Hunan Automobile Industry Cluster as an Example [J] . Liu Juan . International Journal of Technology Management . 2014,第009期
• 4. 利用数据挖掘的聚类方法对网管话务统计进行优化 [C] . 许飞 . 2010信息通信网技术业务发展研讨会 . 2010
• 5. 基于凝聚的层次聚类方法改进的CHAMELEON算法的研究与应用 [A] . 赵晶晶 . 2020